liliangnudt
I'm pursuing doctor degree in College of Computer, NUDT. My current research interests include MVC, Graph Learning, and Kernel Learning.
National University of Defense TechnologyChangsha, Hunan, China
Pinned Repositories
awesome-awesome-machine-learning
A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Awesome-Incomplete-Graph-Representation-Learning
A curated list for awesome incomplete graph representation learning resources.
awesome-molecular-graph-representation-learning
A curated list of resources for molecular graph representation learning.
awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
awesome_lists
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
Incomplete-multi-view-clustering
A collection of incomplete multi-view clustering paper
LSWMKC
MKCDNM
MVBGC-NFF
The code for MVBGC-NFF.
liliangnudt's Repositories
liliangnudt/MVBGC-NFF
The code for MVBGC-NFF.
liliangnudt/LSWMKC
liliangnudt/MKCDNM
liliangnudt/Incomplete-multi-view-clustering
A collection of incomplete multi-view clustering paper
liliangnudt/Awesome-Incomplete-Graph-Representation-Learning
A curated list for awesome incomplete graph representation learning resources.
liliangnudt/awesome-multi-view-clustering
collections for advanced, novel multi-view clustering methods(papers , codes and datasets)
liliangnudt/awesome-awesome-machine-learning
A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
liliangnudt/Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
liliangnudt/awesome-molecular-graph-representation-learning
A curated list of resources for molecular graph representation learning.
liliangnudt/awesome_lists
Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)
liliangnudt/DCRN
An official source code for paper Deep Graph Clustering via Dual Correlation Reduction, accepted by AAAI 2022.
liliangnudt/liliangnudt
liliangnudt/liliangnudt.github.io2
Yue Liu's HomePage.
liliangnudt/liliangnudt1
liliangnudt/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
liliangnudt/nudt
liliangnudt/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
liliangnudt/multiview_learning
liliangnudt/BGAE
liliangnudt/MatlabFunc
Matlab codes for feature learning
liliangnudt/A-Unified-Framework-for-Deep-Attribute-Graph-Clustering
This project is a scalable unified framework for deep graph clustering.
liliangnudt/Awesome-Jailbreak-on-LLMs
liliangnudt/HomRank
The code for preprint "HomRank" is coming soon. Any discussions or concerns are welcomed! Please contact me via e-mail: liliang1037@gmail.com If you find this repository useful to your research or work, it is really appreciate to star this repository. ❤️
liliangnudt/Jet-BGC
liliangnudt/liliangnudt.github.io
Yue Liu's HomePage.
liliangnudt/TFMKC
The code for priprint “TFMKC: Tuning-free Multiple Kernel Clustering Coupled with Diverse Partition Fusion” is coming soon.
liliangnudt/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
liliangnudt/e3nn
A modular framework for neural networks with Euclidean symmetry
liliangnudt/PyGCL
PyGCL: A PyTorch Library for Graph Contrastive Learning